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Hi, I’m Mubeen, a PhD-trained bioinformatician with a strong foundation in biochemistry and deep expertise in NGS, computational biology, and multi-omics data analysis. I help researchers, biotech startups, and clinical teams turn complex biological data into clear, actionable insights. Academic Background • PhD in Biochemistry & Molecular Biology • MS & BS in Biochemistry Core Expertise • NGS Analysis – Variant calling (WGS, WES), RNA-seq processing, fusion detection, expression quantification • Transcriptomics & Functional Genomics – Differential gene expression, KEGG/GO enrichment, miRNA/SNP interaction • Multi-Omics Integration – Combining genomics, transcriptomics, and epigenomics for systems-level insights • Visualization & Interpretation – IGV, UCSC Genome Browser, R/ggplot2, Python/matplotlib • Pipeline Development – Reproducible, scalable workflows using Python, R, Galaxy, and shell scripting What I Deliver • Clean, reproducible analysis with clear documentation • Biological insight rooted in rigorous computation • Scalable pipelines tailored to your data and goals • Clear communication, responsiveness, and on-time delivery Services Offered • End-to-end analysis of WGS, WES, and RNA-seq data • Pipeline creation & automation (Snakemake, Nextflow, shell scripts) • Pathway and gene set enrichment analysis • Multi-omics data integration & visualization • Technical consulting on experimental design & analysis strategy • Custom figure generation for publication or presentation Whether you're a lab looking for robust data analysis, a startup needing bioinformatics support, or a PI preparing for publication I’m here to help bring your biological questions to data-driven answers. Let’s talk about how I can support your next bioinformatics project.

🔍,SEO-based research | 📊 Data Science | 🤖 Generative AI | 🧠 Machine Learning | 🐍 Python | 📈 R Programming | 📊 Analytics | 🧬 Bioinformatics I am a Data Scientist and AI Engineer with expertise in Machine Learning, Generative AI, data analytics, natural language processing (NLP), and bioinformatics. I help businesses, researchers, and startups transform data into actionable insights through predictive modelling, statistical analysis, AI-powered solutions, and custom Python and R applications. With over **75 successfully completed freelance projects* and experience training 32+ students in Data Science and Bioinformatics, I bring both technical expertise and strong communication skills to every engagement. My focus is on delivering accurate, reproducible, and business-oriented solutions that create measurable value. 🎯 Core Expertise 🔹 Data Science & Analytics • Data Cleaning & Preprocessing • Exploratory Data Analysis (EDA) • Feature Engineering • Statistical Modeling • Predictive Analytics • Data Mining • Network Analysis 🔹 Machine Learning & AI • Supervised & Unsupervised Learning • Classification & Regression • Support Vector Machines (SVM) • Principal Component Analysis (PCA) • K-Means Clustering • Deep Learning • Generative AI • Natural Language Processing (NLP) 🔹 Featured Projects • Stock Price Prediction using LSTM Networks • Breast Cancer Classification using PCA + SVM • Image Segmentation using K-Means Clustering • Machine Learning Model Development and Evaluation • Face Detection using Haar Cascade Features and OpenCV • Research Analytics and Data Visualization 🔹 Programming & Analytics • Python • R Programming • SQL • C++ • C# • MATLAB •Java 🔹 Data Science & Machine Learning Libraries • Scikit-Learn • TensorFlow • Keras • NumPy • Pandas • Matplotlib • Seaborn • Plotly • ggplot2 • dplyr • tidyr • DESeq2 🔹 Bioinformatics & Computational Biology • NGS & RNA-Seq Analysis in Python and R • Biopython • Cytoscape, STRING, DAVID, GSEA • AlphaFold, PyMOL, ChimeraX • Galaxy Server and Linux-based Pipelines • Molecular Docking (AutoDock and ML-Based) • Molecular Dynamic Simulation in GPU (GROMACS, AMBER, NAMD) Why Work With Me? ✅ 75+ Successfully Completed Projects ✅ 32+ Students Trained Worldwide ✅ Strong Research and Analytical Background ✅ Clear Communication and Documentation ✅ On-Time Delivery and Reliable Support Let's discuss how I can help with your data science, AI, machine learning, analytics, or bioinformatics project.

Are you looking for a developer who understands both the science and the code behind your data? I'm an AI/ML Developer and Python Engineer with a background in Bioinformatics, specializing in building intelligent, data-driven applications for medical, biological, and scientific domains. I combine machine learning, deep learning, and domain expertise to deliver tools that are technically sound and genuinely useful in the real world. What I build: AI/ML models for healthcare and biological data: classification, regression, prediction, and risk scoring using scikit-learn, XGBoost, Random Forest, TensorFlow, and PyTorch Medical web applications with clean clinical UIs using Python Flask and React Bioinformatics pipelines: sequence alignment, mutation analysis, phylogenetic tools using BLAST, Clustal Omega, MEGA, and PyMOL Data dashboards and visualization systems using Matplotlib, Seaborn, and Pandas for scientific and research data REST API development, automation scripts, and data pipeline integrations Recent work: BloodMark: An early screening system for Thalassemia built on real CBC hematological data. Includes automated risk scoring, interpretability charts, and a clinical-grade UI. Designed to reduce missed diagnoses in low-resource healthcare settings. Multilingual Triage App: A rule-based clinical decision support web app with red-flag detection, risk visualization, and bilingual support (English/Urdu). Built entirely in Python with a safety-first design. Bioinformatics Intern @ The Freelance Bubble: Performed sequence alignment, phylogenetic analysis, and protein structure prediction using BLAST, Clustal Omega, MEGA, and PyMOL. My tech stack: Python · Flask · React · scikit-learn · TensorFlow · PyTorch · XGBoost · Pandas · NumPy · Matplotlib · Seaborn · SQL · REST APIs · BLAST · MEGA · PyMOL · SWISS-MODEL · Webflow · WordPress Why clients work with me: I understand the domain, not just the code — I build ML models that make sense for your specific data and use case Clean, well-documented deliverables — production-ready code, not messy notebooks Clear communication and reliable deadlines Actively expanding into Generative AI, LLM integration, prompt engineering, and embeddings through HEC-certified training Best fit for: Medical AI · Healthcare data analysis · Bioinformatics tools · Python automation · ML model development · Scientific web apps · NLP · Predictive analytics · Disease prediction · Genomics data analysis Keywords: Python & Dev Python · Flask · Django · FastAPI · REST API · React · Full Stack · SQL · PostgreSQL · MongoDB · Git · Docker AI & ML Machine Learning · Deep Learning · NLP · Computer Vision · scikit-learn · TensorFlow · PyTorch · XGBoost · Random Forest · Neural Networks · Predictive Analytics · Model Deployment Data Pandas · NumPy · Matplotlib · Seaborn · Data Analysis · Data Visualization · Feature Engineering · Data Pipeline · ETL Healthcare/Bio Bioinformatics · Medical AI · Clinical Decision Support · Healthcare Data · Disease Prediction · BLAST · PyMOL · Genomics · Sequence Alignment GenAI LLM Integration · Prompt Engineering · OpenAI API · Embeddings · RAG · Chatbot Development · Generative AI

⭐⭐⭐⭐⭐ What Clients Say About Me "Sameer has been one of the most valuable members of our team. He's highly creative, hardworking, and consistently goes the extra mile - even when tackling something he hasn't done before." - McGill University, Canada Hi there! 👋 I'm Sameer - a Biostatistician and Data Analyst helping medical researchers, clinicians, and academic teams turn raw data into clear, publication-ready findings. From clinical trials and patient surveys to longitudinal studies and health outcomes research, I deliver the statistical rigor your study needs - along with written interpretations that explain what your results actually mean. 📊 What I Do ⭐️ Statistical Analysis — t-tests, Mann-Whitney U, ANOVA, MANOVA, regression, correlation, and predictive modeling ⭐️ Clinical & Survey Research — PROMs (KOOS, WOMAC, SF-12, UCLA), longitudinal tracking, pre/post studies ⭐️ Data Cleaning & Preparation — turning messy spreadsheets into analysis-ready datasets ⭐️ Written Interpretation — clear explanations of findings, limitations, and confounders you can drop into your discussion section ⭐️ Presentations — I prepare slide decks to walk your team through the findings 📈 Dashboards & Visualization Need more than a report? I build interactive dashboards in Power BI and Tableau, plus publication-quality charts (heatmaps, boxplots, trajectory plots) in R and Python. 💻 Tools Python · R · SPSS · STATA · Power BI · Tableau · Excel ✨ What Sets Me Apart ✅ Full involvement, no outsourcing — I personally handle every stage: design, analysis, visualization, and delivery ✅ Interpretation, not just numbers — you get the story behind the p-values, not a raw output dump ✅ Clear communicator — plain-language updates, no jargon walls ✅ EST timezone availability — overlapping hours for smooth collaboration 🛡️ Data Privacy I work with sensitive health data regularly and understand HIPAA requirements. Happy to sign an NDA before we start, and I can guide you on removing PHI from your dataset so we work with a clean, compliant file from day one. ✨ Let's Start ➡️ First, let's sign an NDA and then send me a sample of your data - I'll reply with an analysis plan and a quote ➡️ Prefer to talk? Book a free 15-minute discovery call ➡️ Bonus: Once we complete the analysis, I'll build your first Power BI dashboard FREE of charge Message me to get started.

Summary: I am a molecular biologist with 9 years of experience in molecular biology research and tools with applications in drugs and medicine, disease prevention, and water quality. I am well experienced in next-generation sequencing, including library preparation and operation of Illumina MiSeq Sequencer, bioinformatics, shotgun metagenomic analyses, qPCR, other micro-and molecular biology tools and methods, and assessment and treatment of water quality. Interests: Genetics, genomics, cancer, drugs and medicine, bioinformatics, proteomics.

**************Genomics & Informatics Lab (GIL) ***************** **************Your Trusted Partner in Advanced Bioinformatics & AI-Driven Multi-Omics****** I lead a distinguished team at Genomics & Informatics Lab (GIL), specializing in Biotechnology, Bioinformatics, Computational Biology, and AI-powered Multi-Omics. At GIL, we offer a comprehensive suite of cutting-edge services tailored to meet the evolving demands of genomics, transcriptomics, proteomics, metagenomics, pharmacogenomics, and precision medicine. Our Expertise: AI-Powered Bioinformatics & Multi-Omics Data Analysis 🔬 1. Bioinformatics & Genomics: AI/ML-powered Next-Generation Sequencing (NGS) data analysis Comparative & Population Genomics for evolutionary insights Genetic variant detection & annotation Functional Genomics (Gene Ontology, KEGG Pathway analysis) Phylogenetics & Evolutionary Genomics miRNA structure prediction & target analysis 🧬 2. AI-Driven Transcriptomics & Epigenomics: RNA-Seq & Single-Cell Transcriptomics Differential Expression & Alternative Splicing Analysis Epigenomics: DNA Methylation & Histone Modification Analysis 💊 3. Computational Pharmacogenomics & Precision Medicine: AI-assisted drug-gene interaction prediction Pharmacogenomic modeling for personalized medicine Toxicogenomics & Drug Response Prediction 🦠 4. Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA sequencing-based microbiome analysis Microbiome-host interaction modeling AI-powered taxonomic & functional profiling ⚛ 5. AI in Structural & Systems Biology: Protein-Protein Interaction Analysis & Docking Molecular Dynamics (MD) & Simulation Studies AI-driven protein structure prediction (AlphaFold, Rosetta, etc.) 🤖 6. AI & Machine Learning in Multi-Omics Integration: Deep learning for biomarker discovery Multi-omics data integration (Genomics, Proteomics, Metabolomics, Epigenomics) Network-based systems biology approaches 🚀 State-of-the-Art Computing Infrastructure GIL is equipped with high-performance computing (HPC) clusters, multi-core processing, and cloud-based analytics, ensuring scalable, fast, and accurate bioinformatics solutions. 💡 Why Choose GIL? ✅ Expert Team: Decades of experience in computational biology & AI ✅ Cutting-Edge Technologies: AI, ML, and HPC-powered analytics ✅ Proven Track Record: Successful projects in academia & industry ✅ Custom Solutions: Tailored pipelines for diverse research needs Let GIL be your trusted partner in advancing your research! Contact us today to explore how we can support your next breakthrough in computational biology and AI-driven bioinformatics. 🔍💻🧬